Interested in Machine Learning? Amazon SageMaker is a fully managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for online predictions. SageMaker https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand. As the Software Development Manager, you will own the innovation in the space of ML Platforms, building compelling functionality for the Amazon SageMaker Service. You will be responsible for leading a team of engineers in design, development, test, and deployment of distributed systems and big data solutions. A successful candidate will have an established background in developing distributed systems, a strong technical ability, excellent project management skills, great communication skills, and a motivation to
· Bachelor's Degree in Computer Science or a related field · Established skills in designing and developing solutions to complex problems in a distributed systems environment. · · Strong technical credentials, with at least 4 years experience managing software development teams, ideally with some hands-on architectural or distributed systems experience. · · Mastery of the tools of the trade, including familiarity with modern programming languages (C/C++, Java, JavaScript, Objective C) and open-source technologies (Apache, Hadoop, Spark) · · A strong track record of project delivery for large, cross-functional,